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Job Description

Motion Recruitment is hiring a BI Data Engineer in Boston, MA (onsite) to be the technical anchor for analytics infrastructure and reporting as the robotics fleet scales.

Responsibilities

  • Build scalable dashboards
  • Define new metrics to support analytics needs
  • Ensure long-term data quality and pipeline reliability as the robotics fleet grows
  • Own the end-to-end design and deployment of analytics products
  • Establish team-wide SOPs for dashboard health, including:
    • Version control
    • Automated data validation
    • Depreciation strategies
    • Access controls
  • Collaborate closely with Data Scientists, DEs, and product managers
  • Conduct foundational statistical deep dives to audit robot efficiency and system health
  • Write high-impact whitepapers and analytical deep dives to guide leadership on future design and roadmap decisions

Requirements

  • BI ownership and experience leading end-to-end design and deployment of analytics products
  • Ability to establish team-wide SOPs for dashboard health, including version control, automated data validation, depreciation strategies, and access controls
  • Cross-functional collaboration with Data Scientists, DEs, and product managers
  • Applied Machine Statistics experience, including foundational statistical deep dives to audit robot efficiency and system health
  • Experience writing high-impact whitepapers and analytical deep dives that inform leadership on future design and roadmap decisions
  • SQL & data modeling
  • Experience with data visualization and reporting systems (e.g., AWS QuickSight, Tableau)
  • Experience identifying new data sources and building basic ETL pipelines

Technical Focus

  • SQL
  • Data Modeling
  • AWS QuickSight
  • Tableau
  • ETL
  • Applied Machine Statistics

Work Breakdown

  • 35% Data Engineering
  • 25% System Evaluation & Applied Statistics
  • 25% Technical Writing
  • 15% Cross Functional Strategy

Daily Collaboration

  • 70% Hands-on work
  • 30% Team collaboration

Desired Skills & Experience

  • SQL & data modeling depth
  • Experience with data visualization and reporting systems (AWS QuickSight, Tableau, etc.)
  • Experience identifying new data sources and building basic ETL pipelines

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